000			04127nam a2201021 i 4500
001			5224669
003			IEEE
005			20230927112342.0
006			m o d
007			cr |n|||||||||
008			090122t20152008njua ob 001 0 eng d
020			_a9780470377819 _qelectronic
020			_z9781118851210 _qpaper
020			_z047037781X _qelectronic
024	7		_a10.1002/9780470377819 _2doi
035			_a(CaBNVSL)mat05224669
035			_a(IDAMS)0b000064810713a0
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
082	0	4	_a629.8/312
100	1		_aGrewal, Mohinder S. _eauthor.
245	1	0	_aKalman filtering : _btheory and practice using MATLAB / _cMohinder S. Grewal, Angus P. Andrews.
250			_a3rd ed.
264		1	_aHoboken, New Jersey : _bWiley, _cc2008.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c2008.
300			_a1 PDF (xvi, 575 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references (p. 549-564) and index.
505	0		_a1. General Information -- 2. Linear Dynamic Systems -- 3. Random Processes and Stochastic Systems -- 4. Linear Optimal Filters and Predictors -- 5. Optimal Smoothers -- 6. Implementation Methods -- 7. Nonlinear Filtering -- 8. Practical Considerations -- 9. Applications to Navigation -- Appendix A. MATLAB Software -- Appendix B. Matrix Refresher.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aThis book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/21/2015.
630	0	0	_aMATLAB.
650		0	_aKalman filtering.
655		0	_aElectronic books.
695			_aAircraft navigation
695			_aBibliographies
695			_aBiological system modeling
695			_aBooks
695			_aCalculus
695			_aComputational modeling
695			_aComputers
695			_aConvergence
695			_aCovariance matrix
695			_aData structures
695			_aDifferential equations
695			_aEquations
695			_aEstimation
695			_aEstimation error
695			_aGlobal Navigation Satellite Systems
695			_aHistory
695			_aIndexes
695			_aInterpolation
695			_aKalman filters
695			_aMATLAB
695			_aManganese
695			_aMathematical model
695			_aMatrices
695			_aMeasurement uncertainty
695			_aNoise
695			_aNoise measurement
695			_aPlanets
695			_aProbability distribution
695			_aRandom processes
695			_aRiccati equations
695			_aRoundoff errors
695			_aSensors
695			_aSmoothing methods
695			_aSparse matrices
695			_aStochastic processes
695			_aStochastic systems
695			_aSymmetric matrices
695			_aSyntactics
695			_aTime measurement
695			_aUncertainty
695			_aVehicle dynamics
695			_aVehicles
695			_aVelocity measurement
700	1		_aAndrews, Angus P.
710	2		_aJohn Wiley & Sons, _epublisher.
710	2		_aIEEE Xplore (Online service), _edistributor.
776	0	8	_iPrint version: _z9781118851210
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5224669
999			_c39990 _d39990